Healthcare platforms typically exist within each of the technology blocks. For example, within instrument systems, the client may develop an embedded platform that can be deployed across multiple instruments.
Many of our clients are focused on developing multiple applications that derive from the same mobile platform. The same situation exists with clients who want to develop a cloud platform. This process is called “platforming.”
Building modern strategies to effectuate patient engagement in clinical trials is essential to maintaining interest and compliance during the study. Most existing tools use trial/therapy inconsistencies as the red flag indicating a support needed.
But a better approach is to take preemptive measures that guide the patient through the correct workflow by integrating with their daily digital routine. This provides opportunities to engage them (via messages and notifications) or prompt them to take actions (e.g., activity, medication) when they are most receptive and able to comply.
The ideal platform provides patients with a contactless method of reviewing and signing required documentation — including consent, evaluation questionnaires, and other regulatory documentation.
That ideal platform may well use companion applications (e.g., gamification) to help subjects stay more engaged in the routine throughout the entire span of the study.
And on the analysis side, the ideal platform can aggregate study data (open to third-party integrations) and provide submission instruments for CROs to report findings back to sponsors.
Advances in data science, data analysis, and visualization tools, and healthcare clinicians’ growing awareness of the power and usefulness of data visualization are combining to have a significant impact on patient care — individually and at a population level.
The COVID-19 virus helped to further mainstream big data and data visualization tools at the public health level, where clinicians and individuals alike could see the power of data.